Evidence map›Paper›PMID 37756314›Full record

ArticlePloS one2023

Unraveling the role of non-coding rare variants in epilepsy.

Alexandre Girard, Claudia Moreau, Jacques L Michaud, Berge Minassian, Patrick Cossette, Simon L Girard

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 2 countries.

Alexandre GirardCentre Intersectoriel en Santé Durable, University of Quebec in Chicoutimi, Saguenay, Canada.
Claudia MoreauCentre Intersectoriel en Santé Durable, University of Quebec in Chicoutimi, Saguenay, Canada.
Jacques L MichaudCHU Sainte-Justine, Montréal, Canada.
Berge MinassianThe Hospital for Sick Children, Department of Pediatrics, Toronto, Canada.
Patrick CossetteCHUM Research Center, Montréal, Canada.
Simon L GirardCentre Intersectoriel en Santé Durable, University of Quebec in Chicoutimi, Saguenay, Canada.ORCID 0000-0002-4089-2280
Université du Québec à Chicoutimi · CACentre Hospitalier de l’Université de Montréal · CACentre Hospitalier Universitaire Sainte-Justine · CAHospital for Sick Children · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The discovery of new variants has leveled off in recent years in epilepsy studies, despite the use of very large cohorts. Consequently, most of the heritability is still unexplained. Rare non-coding variants have been largely ignored in studies on epilepsy, although non-coding single nucleotide variants can have a significant impact on gene expression. We had access to whole genome sequencing (WGS) from 247 epilepsy patients and 377 controls. To assess the functional impact of non-coding variants, ExPecto, a deep learning algorithm was used to predict expression change in brain tissues. We compared the burden of rare non-coding deleterious variants between cases and controls. Rare non-coding highly deleterious variants were significantly enriched in Genetic Generalized Epilepsy (GGE), but not in Non-Acquired Focal Epilepsy (NAFE) or all epilepsy cases when compared with controls. In this study we showed that rare non-coding deleterious variants are associated with epilepsy, specifically with GGE. Larger WGS epilepsy cohort will be needed to investigate those effects at a greater resolution. Nevertheless, we demonstrated the importance of studying non-coding regions in epilepsy, a disease where new discoveries are scarce.

Indexed as

Epilepsies, PartialEpilepsyEpilepsy, GeneralizedAlgorithmsHumansWhole Genome Sequencing

Identifiers

PMID37756314
PMCPMC10529579
OpenAlexW4387092916

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.